Q. What is the typical approach for determining the equations of an algorithmic cost estimation model?

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Q. What is one of the assumptions that is typically made in laboratory experiments to determine cost estimation models?

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Q. What are the two ways to arrive at algorithmic cost estimation models?

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Q. What are the limitations of using the results from laboratory experiments in cost estimation models?

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Q. What are the limitations of using data from earlier projects to estimate the cost of a new project?

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Q. What are some of the limitations of using real project data to arrive at cost estimation models?

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Q. What is one of the reasons why the models of Walston and Felix and Boehm yield different results for one and the same problem description?

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Q. What are some of the factors that are taken into account while collecting data for cost estimation models?

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Q. What is the main determinant of effort and cost in software development?

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Q. What is one of the strategies for improving software productivity?

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Q. What can be done to get the best from people in software development?

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Q. What is one of the reasons for rework in software development?

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Q. What can integrated project support environments do to improve software development?

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Q. What are some of the common characteristics of various cost estimation models?

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Q. What are some of the reasons for the discrepancies between existing cost estimation models?

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Q. What is the main disadvantage of expert-based cost estimation?

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Q. Why are algorithmic models not suitable for agile projects?

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Q. What is the main disadvantage of shortening the nominal development time?

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Q. What is the general form of the equation used to express the correlation between programming effort and program size in algorithmic models?

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Q. What is the primary cost driver in algorithmic models for software cost estimation?

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